8 citations · 23 across the 21 of their papers we have counts for
3 papers · 1 filter
GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
Mohammed Oussama Benyahia, Marouane Tliba, Mohamed Amine Kerkouri +10
Medical image segmentation remains difficult to scale because high-performing methods typically rely on dense expert annotations and task-specific training. We introduce GazeRefine…
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
Omid Halimi Milani, Amanda Nikho, Lauren Mills +3
Deep learning models have great potential in medical imaging, including orthodontics and skeletal maturity assessment. However, applying a model to data different from its training…
Deep-based quality assessment of medical images through domain adaptation
Marouane Tliba, Aymen Sekhri, Mohamed Amine Kerkouri +1
Predicting the quality of multimedia content is often needed in different fields. In some applications, quality metrics are crucial with a high impact, and can affect decision maki…